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PurposeThe purpose of this paper is to show how different business model innovations (BMIs) help small and medium-sized enterprises (SMEs) in the food and beverage industry to navigate turbulent and uncertain environments such as the coronavirus economic crisis (COVID-19).Design/methodology/approachThe paper adopts an in-depth case study approach and uses a dynamic business modeling (DBM) approach to analyze how a pioneer craft brewery in Switzerland implemented innovative actions undertaken during the COVID-19 pandemic.FindingsThe paper offers a novel framework describing three processes helping SMEs to implement innovations in their business model (BM) to respond in an effective way to crises, such as the COVID-19 pandemic. The first process refers to SMEs' ability to leverage readily available resources and allows SMEs to rapidly use their current knowledge to react to the changing environment amid the crisis. The second process points at SMEs' ability to transform existing resources into novel products or solutions. Finally, by mobilizing distant resources from their network, SMEs can obtain new resources and knowledge that facilitate the implementation of major changes in their BM.Originality/valueUnlike previous studies, this research adopts a cause-and-effect perspective to make explicit how SMEs' BM changes affect strategic resources, key drivers and processes, thereby impacting performance. The analysis of the multiple reinforcing and balancing feedback loops resulting from the DBM approach can help SME entrepreneurs learn how and what changes are required in their BM to effectively face turbulent times, such as the COVID-19 crisis. From such an analysis, it emerged that the ability of SMEs to effectively implement innovations amid a crisis depends in large part on their collaborations with business partners and their ability to use and transform internal and external knowledge. In addition, as the future evolution of the COVID-19 crisis is still ongoing and uncertain, this study offers a unique perspective for SMEs in the food and beverage industry as the situation unfolds rather than after the fact.

The goal of this paper is to discuss the role System Dynamics (SD) can play to enhance performance improvement in the public sector. It is remarked how SD can help decision makers to properly perceive the boundaries of the relevant system underlying observed phenomena. To this end, three real cases are analysed to show how SD can facilitate a better understanding of the relationships between the political and the organisational system in the public sector, and how to promptly attain efficiency and improve outcome, given the constraints that the institutional and political systems constitute

The purpose of this research is to offer an assessment framework to validate multisided platform business models. For this aim, we propose a systemic perspective based on the dynamic performance management approach. This approach is particularly effective to make explicit the net of relationships between internal and external strategic resources, the value creation and capture drivers, and the way such drivers influence platform performances. The developed multisided platform business model assessment framework has been tested by using a success and a failure case, respectively, Airbnb and Take Eat Easy. Research originality results from the combination of multisided platform value creation/capture drivers and innovative approach like the dynamic performance management to assess platforms business models. Findings show that neglecting the role played by value creation and capture drivers and those cause‐and‐effect mechanisms aimed at leveraging critical internal and external strategic resources can lead to platform failure.

Financial losses recorded in city bus companies often force managers to implement restructuring strategies aimed at improving business results. However, such decisions may not produce the expected consequences for a number of reasons. Both the internal and external environment in which such companies operate can make the design and implementation of long-term sustainable policies quite diffi cult. In fact, the result may be that decision makers introduce "effective" policies in a company subsystem, while ignoring the mediumand long-term implications of such decisions in the performance of the whole company. With the aim to detect the main causes underlying "myopic" fl eet maintenance policies, an empirical analysis of two major Italian city bus companies has been conducted. This approach allowed the authors to make explicit the network of cause-and-effect relationships between different business subsystems and to build a system dynamics model to support city bus managers in designing and assessing alternative long-term sustainable strategies.